Physics-based neural network models for prediction of cam-follower dynamics beyond nominal operations

cris.virtual.department	#PLACEHOLDER_PARENT_METADATA_VALUE#
cris.virtual.orcid	0000-0002-7865-6793
cris.virtualsource.department	43fd6f27-126a-4a10-8c2e-2c15e86e4898
cris.virtualsource.orcid	43fd6f27-126a-4a10-8c2e-2c15e86e4898
dc.contributor.author	De Groote, W.
dc.contributor.author	Van Hoecke, Sofie
dc.contributor.author	Crevecoeur, G.
dc.contributor.imecauthor	Van Hoecke, Sofie
dc.contributor.orcidimec	Van Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned	2021-10-31T08:20:31Z
dc.date.available	2021-10-31T08:20:31Z
dc.date.embargo	9999-12-31
dc.date.issued	2021
dc.identifier.doi	10.1109/TMECH.2021.3101420
dc.identifier.issn	1083-4435
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/36618
dc.source.beginpage	1
dc.source.endpage	11
dc.source.journal	IEEE/ASME Transactions on Mechatronics
dc.title	Physics-based neural network models for prediction of cam-follower dynamics beyond nominal operations
dc.type	Journal article
dspace.entity.type	Publication
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